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Physics Simulation Python Jobs in Waveland, MS (NOW HIRING)

Physics Simulation Python information

See Waveland, MS salary details

$9.1K

$55.9K

$100.5K

How much do physics simulation python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for physics simulation python in Waveland, MS is $55,940.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,400.00 and $65,800.00 per year, depending on experience, location, and employer.

What is a physics simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

What are the key skills and qualifications needed to thrive as a physics simulation Python developer?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in physics simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What cities near Waveland, MS are hiring for Physics Simulation Python jobs?

Cities near Waveland, MS with the most Physics Simulation Python job openings:

Sensor Physics and Signal Processing Engineer

Gulfport, MS • On-site

University of Southern Mississippi
Colleges, Universities, and Professional Schools • 1 - 5K employees

Other

Posted 9 days ago


University Of Southern Mississippi rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Sensor Physics and Signal Processing Engineer

Sensor Physics and Signal Processing Engineer

The University of Southern Mississippi is currently accepting applications for the position of Sensor Physics and Signal Processing Engineer.

Location: Marine Research Center

1030 West Pier, Port of Gulfport

Gulfport, Mississippi, 39501

United States

Division Ocean Enterprise

Position Type Staff

Employment Status Full Time

Grant Funded Yes

Salary Range 70,536.00 - 95,432.00

Pay Grade E14

Posting Close Date September 19, 2026

Job Summary

The Sensor Physics and Signal Processing Engineer conducts engineering and applied physics research involving the development, implementation, and evaluation of signal processing techniques and physics-based sensing methods for autonomous underwater systems. The position develops and evaluates acoustic, magnetic, and other sensing algorithms; characterizes sensor performance; and investigates the effects of environmental and operational conditions on sensing capabilities. Working collaboratively with multidisciplinary research and engineering teams, the position supports the development, testing, and transition of advanced sensing technologies that improve autonomous perception and decision-making at the Center for Ocean Enterprise.

Primary Job Duties and Responsibilities
  • Develops, implements, and evaluates signal processing algorithms for acoustic, magnetic, and other underwater sensing systems.
  • Characterizes sensor performance and evaluates the effects of environmental and operational conditions on sensing capability, data quality, and detection performance.
  • Develops detection, filtering, feature extraction, and sensor characterization techniques to support autonomous underwater sensing and perception.
  • Collaborates with AI/ML, software, autonomy, and systems engineering researchers to integrate sensing algorithms into edge-deployable autonomous systems.
  • Supports laboratory integration, simulation, pool testing, and open-water demonstrations involving autonomous underwater vehicles and advanced sensor payloads.
  • Evaluates sensor performance through laboratory experiments, field-collected datasets, simulations, and modeling tools and documents findings through technical reports, publications, and presentations.
  • Translates research findings into operational capabilities through the development, validation, and transition of sensing technologies for intelligent autonomous systems.
  • Maintains knowledge of advances in underwater sensing, signal processing, and applied sensor physics and applies emerging methods to improve sensing performance in operational environments.
Minimum Qualifications

Master’sdegree from an accredited college or university in Applied Physics, Physics,Geophysics, Remote Sensing, Electrical Engineering, or a closely related fieldand six (6) years of related experience; or a Ph.D. from an accredited collegeor university in Applied Physics, Physics, Geophysics, Remote Sensing,Electrical Engineering, or a closely related field and four (4) years ofrelated experience. Experience in signal processing, sensor characterization,physics-based sensing, or related research. U.S. Citizenship with the abilityto obtain a government security clearance. Valid driver’s license andeligibility to obtain a Transportation Worker Identification Credential (TWIC).

Knowledge, Skills, and Abilities (KSA)
  • Knowledge of signal processing principles and their application to acoustic, magnetic, and other sensing systems.
  • Knowledge of physical principles governing underwater sensing systems and the effects of environmental and operational conditions on sensor performance.
  • Knowledge of detection, filtering, feature extraction, sensor characterization, and performance evaluation techniques.
  • Skill in developing, implementing, and evaluating signal processing and sensing algorithms.
  • Skill in processing, analyzing, and interpreting large scientific and sensor datasets.
  • Skill in scientific programming using Python, C/C++, or comparable programming languages and analysis tools.
  • Ability to design and support laboratory experiments, simulations, and field testing of sensing systems.
  • Ability to evaluate sensing system performance and translate scientific findings into practical engineering and operational solutions.
  • Ability to interpret and apply scientific literature and emerging research methods.
  • Ability to collaborate effectively with multidisciplinary teams, including AI/ML, software, autonomy, and systems engineering researchers.
  • Ability to prepare technical reports, research publications, presentations, and other scientific documentation.
  • Ability to work independently, manage multiple research priorities, and contribute effectively within a collaborative research environment.
Preferred Qualifications

Experiencewith acoustic, magnetic, or other underwater sensing systems and signalprocessing techniques for sonar, radar, lidar, or related sensing applications.Experience evaluating the effects of environmental and operational conditionson sensor performance and applying sensor characterization techniques.Proficiency with Python, C/C++, or comparable scientific programming languages.Contributions to applied research, technical reports, conference presentations,or peer-reviewed publications in signal processing, sensor physics, autonomoussystems, or a related field preferred.

About The University of Southern Mississippi

Since our founding in 1910, The University of SouthernMississippi has remained dedicated to preparing students for success. We deliver programs to more than 13,000 students in Hattiesburg and Long Beach, at teaching and research sites across the Mississippi Gulf Coast, as well as online. We are a community-engaged Carnegie R1 university, earning distinction as one of the nation's leading research institutions.

Southern Miss is known for pioneering work in polymer science, ocean science, spectator sports safety and security, and bringing language to children with communication disorders. We are also a national leader in a broad range of disciplines, including cybersecurity, hydrography, nutrition, aquaculture, kinesiology, and economic development, among others.

We produce graduates ready to enter fields that are leading the way in emerging technologies through programs such as computer engineering, information technology, and ocean engineering. We’re developing the next generation of business leaders, while also responding to critical workforce shortages by producing skilled professionals in education and nursing. With a tradition of excellence in the arts, we are one of only 36 public institutions in the nation accredited in four major areas of the arts. Home to the Golden Eagles, our student-athletes compete in 17 NCAA Division I sports. With a culture marked by passion and persistence, Southern Miss is delivering graduates who are ready for life.

For more information, visit www.usm.edu .

The University of Southern Mississippi is an equal opportunity employer, and all qualified applicants will receive consideration for employment. EOE/VETS/DISABILITY.

Annual Security and Fire Safety Report

The University of Southern Mississippi is committed to the safety and security of the USM community. The annual federal required compliance document which contains policy statements and crime statistics for the University is available on the UPD website at http://www.usm.edu/police/ .You may also request a copy by contacting the University Police Department at Bond Hall, 1st Floor West, Hattiesburg, MS 39406 (601) 266-4986. The policy statements address the University's policies, procedures and programs concerning safety and security, for example, policies for responding to emergency situations and sexual offenses. Three years' of statistics are included for certain types of crimes that were reported to have occurred on campus, in or on off-campus buildings or property owned or controlled by the University and on public property within or immediately adjacent to the campus.

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